Description Usage Arguments Value Author(s) See Also

Calculates derivatives of marginal effects with respect to the estimated parameters for binary variables. Required to calculate standard errors of marginal effects.

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | ```
D_discrete.margin_meanonly.mean(whichVars, whichXest, X, fouretas, link, std.dev)
D_discrete.margin_mean.var(whichZest, Z, fouretas, link, std.dev, gstd.dev)
D_discrete.margin_mean.alpha(estThresh, outcomematrix, fouretas, std.dev, link)
D_discrete.margin_var.mean(whichXest, X, fouretas, link, StdDevs)
D_discrete.margin_varonly.var(whichVars, whichZest, Z,fouretas, ZDinputs, link,
StdDevs, gsdmodel)
D_discrete.margin_var.alpha(estThresh, outcomematrix, fouretas, StdDevs, link)
D_discrete.margin_meanvar.mean(whichXest, X, BothEqLocs, fouretas, StdDevs, link)
D_discrete.margin_meanvar.var(whichZest, Z, BothEqLocs, fouretas, ZDinputs, link,
StdDevs,gsdmodel)
``` |

`whichVars` |
Numeric vector stating indexes of variables that are binary and marginal effects are desired. |

`whichXest` |
Logical vector indicating the variables in X for which the relevant parameters were estimated. |

`X` |
Data matrix containing variables in mean equation. |

`fouretas` |
Inputs to link functions. |

`link` |
specifies the link function for the estimated model. |

`std.dev` |
The calculated standard deviation of the error terms. |

`Z` |
Data matrix containing variables in variance equation. |

`whichZest` |
Logical vector indicating the variables in Z for which the relevant parameters were estimated. |

`gstd.dev` |
The calculated derivative of the standard deviation of the error terms. |

`estThresh` |
Logical vector indicating which threshold parameters were estimated. |

`outcomematrix` |
A matrix that indicates the outcome variable. |

`ZDinputs` |
Values of inputs to function that gives standard deviation when binary variable is equal to 0 and 1. |

`StdDevs` |
Values of standard deviation when binary variable is equal to 0 and 1. |

`gsdmodel` |
Expression used to calculate derivative of standard deviation. |

`BothEqLocs` |
Dataframe describing locations of binary variables that are in both the mean and variance equations. |

Numeric matrix of derivatives of marginal effects with respect to estimated parameters.

Nathan Carroll, nathan.carroll@ur.de

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